Match

Regar-TadAZ vs Eskhata: result 0-1 and analysis

Vysshaya LigaRegular Season - 4Kick-off on April 15, 2023 at 11:30 AM (UTC)TALCO Arena, Tursunzoda

Regar-TadAZ
0-1
Eskhata

Full time

What was the result of Regar-TadAZ vs Eskhata?

Eskhata won 0-1 on April 15, 2023.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Regar-TadAZ have 6 wins, 4 draws and 5 defeats; Eskhata have 7, 4 and 4.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Regar-TadAZ
DateOpponentScoreCompetition
Apr 12, 2023Istiqlol(home)1-1Vysshaya Liga
Apr 7, 2023Khujand(away)2-2Vysshaya Liga
Apr 1, 2023Khatlon(home)3-0Vysshaya Liga
Nov 20, 2022Istaravshan(home)2-0Vysshaya Liga
Nov 11, 2022Ravshan Zafarobod(away)5-0Vysshaya Liga
Eskhata
DateOpponentScoreCompetition
Apr 12, 2023Khujand(home)0-1Vysshaya Liga
Apr 6, 2023Khatlon(away)2-0Vysshaya Liga
Apr 2, 2023CSKA Pomir(home)3-2Vysshaya Liga
Nov 16, 2022Fayzkand(away)2-0Vysshaya Liga
Nov 10, 2022Istaravshan(home)3-0Vysshaya Liga

What does the head-to-head say?

Across the last 3 meetings: 2 Regar-TadAZ wins, 0 draws, 1 Eskhata win.

DateScoreCompetition
Nov 6, 2022Regar-TadAZ 2-1 EskhataVysshaya Liga
Sep 2, 2022Eskhata 1-0 Regar-TadAZVysshaya Liga
May 1, 2022Regar-TadAZ 3-1 EskhataVysshaya Liga

Last archived meeting: Regar-TadAZ vs Eskhata on Nov 6, 2022

How many goals should we expect?

Regar-TadAZ score 1.3 and concede 0.9 goals per match over their last 15; Eskhata score 1.4 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Regar-TadAZ1.30.965/156/15
Eskhata1.41.057/155/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

Regar-TadAZ sit 1st in Vysshaya Liga (40 points from 18 matches) and Eskhata sit 9th (19 points from 17 matches).

2026 standings
#ClubPWDLGFGAPts
1Regar-TadAZ18124225940
9Eskhata17548223219

A question about Regar-TadAZ vs Eskhata?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

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How does Footlab AI compute this prediction?

The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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